Weakly supervised action selection learning in video
US12211274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 8, 2022 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | Jul 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A video localization system localizes actions in videos based on a classification model and an actionness model. The classification model is trained to make predictions of which segments of a video depict an action and to classify the actions in the segments. The actionness model predicts whether any action is occurring in each segment, rather than predicting a particular type of action. This reduces the likelihood that the video localization system over-relies on contextual information in localizing actions in video. Furthermore, the classification model and the actionness model are trained based on weakly-labeled data, thereby reducing the cost and time required to generate training data for the video localization system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.